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Udaykiran SuryadevaraUS
Open to opportunities

Udaykiran Suryadevara

@udaykiransuryadevara

AI Quality and Evaluation professional with 3+ years of experience across LLM, VLM, and multimodal AI systems.

India
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What I'm looking for

Seeking a challenging role that leverages my technical expertise and passion for AI technologies to drive operational excellence and innovation.

AI Evaluation Specialist with 3+ years of experience evaluating and improving LLM, VLM, and multimodal AI systems through human feedback, quality assurance, and structured evaluation frameworks.

Experienced in response ranking, factuality validation, hallucination detection, conversational AI assessment, annotation QA, and multimodal quality review across text, image, video, and audio.

Promoted from MLE I to MLE II at Amazon, where I supported large-scale VLM and annotation quality programs, performing 800–900 weekly audits while maintaining a 97% quality target.

Currently evaluating personalised conversational AI at Deccan AI across factuality, reasoning, contextual grounding, safety, and preference ranking workflows.

Currently strengthening technical capabilities in Python, SQL, data analysis, and AI evaluation methodologies.

Core Areas:

• LLM Evaluation & AI Quality Assurance

• RLHF-Style Evaluation & Response Ranking

• Factuality Validation & Hallucination Detection

• Conversational AI & Multi-Turn Assessment

• Vision-Language Model (VLM) Evaluation

• Annotation QA, QC & Reviewer Calibration

• Multimodal AI (Text, Image, Video, & Audio)

• AI Safety, Alignment & Human Feedback Systems

Experience

Work history, roles, and key accomplishments

Deccan AI logoDA
Current

AI Operations Associate

Deccan AI

Jan 2026 - Present (5 months)

Performed rubric-based evaluation of personalised LLM-generated responses within consumer health and wellness AI workflows, delivering structured quality assessments that directly informed model calibration cycles.

IN

AI Data Specialist

Innodata

Nov 2025 - Jan 2026 (2 months)

Delivered high-quality dataset creation, annotation, validation, and quality review for LLM and multimodal AI workflows, supporting downstream RLHF and supervised fine-tuning. Conducted rubric-based evaluations (including factuality and hallucination checks) and completed 6+ model-training support task types such as bounding box annotation and image-text/video-text alignment.

Education

Degrees, certifications, and relevant coursework

KL University logoKU

KL University

Bachelor of Technology, Mechanical Engineering

Completed Bachelor of Technology in Mechanical Engineering, graduating in 2019.

Tech stack

Software and tools used professionally

Availability

Open to opportunities

Location

India

Authorized to work in

Salary expectations

800k-1100k INR

Job categories

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